The DONNA accuracy predictor extends to search spaces different from the one it has been trained for, see Section REF . This is a major advantage of DONNA , as it enables us to quickly extend pre-existing NAS results without the need to create an extended Architecture Library and without retraining the accuracy predictor. For details on this, see Section REF  and Fig. REF  for a discussion on this using ShiftNets [1]}. This section illustrates that the DONNA accuracy predictor is not only portable across layer types, but also across different compute precisions, i.e. when using quantized INT8 operators.
